Modeling the effect of dead-Time on the soft-switching characteristic of variable-frequency modulated series-resonant DAB converter

M. Yaqoob, Ka Hong Loo, Y. M. Lai

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

8 Citations (Scopus)

Abstract

Under wide-range variations in output current and voltage, dual-Active-bridge (DAB) converter can operate with increased conduction and switching loss. A variable frequency-based power modulation scheme for an LC-Type series resonant DAB converter is presented to achieve minimum-Tank-current operation along with full-range soft switching. The proposed minimum-Tank-current operation establishes an in-phase relationship between tank current and secondary-side voltage (low voltage and high current), which allows the switching devices of DAB converter to operate in soft-switching region. Resonant transitions of parasitic capacitances within the dead-Time interval of switching devices are considered to avoid incomplete soft switching. Simulation and experimental results show the effectiveness of the proposed method with a maximum efficiency of 96.8 %.
Original languageEnglish
Title of host publication2017 IEEE 18th Workshop on Control and Modeling for Power Electronics, COMPEL 2017
PublisherIEEE
ISBN (Electronic)9781509053261
DOIs
Publication statusPublished - 18 Aug 2017
Event18th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2017 - Stanford University, Stanford, United States
Duration: 9 Jul 201712 Jul 2017

Conference

Conference18th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2017
CountryUnited States
CityStanford
Period9/07/1712/07/17

Keywords

  • conduction loss
  • DC-DC converter
  • dead-Time
  • dual-Active-bridge
  • frequency modulation
  • micro-grid
  • super-capacitor
  • switching loss
  • zero-voltage switching

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Modelling and Simulation

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